Literature DB >> 23843855

Diagnostic value of contrast-enhanced ultrasound parametric imaging in breast tumors.

Zhang Yuan1, Jiang Quan, Zhang Yunxiao, Chen Jian, He Zhu, Gong Liping.   

Abstract

PURPOSE: This study aimed to evaluate the diagnostic value of SonoLiver software for parametric imaging in breast tumors.
METHODS: Contrast-enhanced ultrasound (CEUS) was performed in 216 breast lesions (113 malignant, 103 benign). The CEUS parameters were compared between benign and malignant lesions. The rise time, the time to peak, the mean transit time and dynamic vessel pattern (DVP) were analyzed using SonoLiver software.
RESULTS: Quantitative analysis showed that the rise time was 16.52±4.15 seconds in the benign group vs. 13.86±3.36 seconds in the malignant group (p=0.007), and the time to peak was 19.86±4.87 seconds in the benign group vs. 16.52±4.85 seconds in the malignant group (p=0.009). The mean transit time was 80.55±18.65 seconds in the benign group vs. 65.16±20.28 seconds in the malignant group (p=0.006). The difference between the distribution of DVP in benign and malignant tumors was statistically significant. One hundred one malignant tumors (89.4%) performed an irregular red/yellow fill in the region of interest (ROI) and 85 benign tumors (82.5%) performed a single blue/green fill in the ROI. The sensitivity, specificity, and accuracy of parametric imaging in breast tumors were 84.1%, 85.4%, 84.7%, respectively.
CONCLUSION: The CEUS parametric imaging can distinguish differences between malignant and benign breast tumors as well as provide diagnostic information on breast lesions.

Entities:  

Keywords:  Breast neoplasms; Contrast media; Ultrasonography

Year:  2013        PMID: 23843855      PMCID: PMC3706868          DOI: 10.4048/jbc.2013.16.2.208

Source DB:  PubMed          Journal:  J Breast Cancer        ISSN: 1738-6756            Impact factor:   3.588


  16 in total

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Authors:  He Liu; Yu-Xin Jiang; Ji-Bin Liu; Qing-Li Zhu; Qiang Sun
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2.  Can contrast-enhanced sonography distinguish benign from malignant breast masses?

Authors:  P G Sorelli; D O Cosgrove; W E Svensson; N Zaman; K Satchithananda; N K Barrett; A K P Lim
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Journal:  Acta Radiol       Date:  2009-10       Impact factor: 1.990

5.  Microvascular architecture of breast lesions: evaluation with contrast-enhanced ultrasonographic micro flow imaging.

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6.  A contrast-enhanced ultrasound study of benign and malignant breast tissue.

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Review 7.  New potential and applications of contrast-enhanced ultrasound of the breast: Own investigations and review of the literature.

Authors:  Corinne Balleyguier; Paule Opolon; Marie Christine Mathieu; Alexandra Athanasiou; Jean Rémi Garbay; Suzette Delaloge; Clarisse Dromain
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9.  Contrast-enhanced ultrasound is helpful in the differentiation of malignant and benign breast lesions.

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10.  Accuracy of contrast-enhanced breast ultrasound for pre-operative tumor size assessment in patients diagnosed with invasive ductal carcinoma of the breast.

Authors:  S van Esser; W B Veldhuis; R van Hillegersberg; P J van Diest; G Stapper; M ElOuamari; I H M Borel Rinkes; W P Th M Mali; M A A J van den Bosch
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2.  Contrast-Enhanced Color Doppler Ultrasonography for Preoperative Evaluation of Sentinel Lymph Node in Breast Cancer Patients.

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3.  Characterizing Breast Lesions Using Quantitative Parametric 3D Subharmonic Imaging: A Multicenter Study.

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5.  Establishment of a model for predicting sentinel lymph node metastasis in early breast cancer based on contrast-enhanced ultrasound and clinicopathological features.

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6.  Quantification and Classification of Contrast Enhanced Ultrasound Breast Cancer Data: A Preliminary Study.

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Review 8.  Antiangiogenesis therapy for breast cancer: an update and perspectives from clinical trials.

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9.  Breast non-mass-like lesions on contrast-enhanced ultrasonography: Feature analysis, breast image reporting and data system classification assessment.

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Journal:  World J Clin Cases       Date:  2020-02-26       Impact factor: 1.337

Review 10.  The application of artificial intelligence in lung cancer: a narrative review.

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  10 in total

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